Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	21613
Missing cells	5
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.5 MiB
Average record size in memory	168.0 B

Variable types

Numeric	17
Categorical	4

Warnings

`date` has a high cardinality: 372 distinct values	High cardinality
`sqft_basement` has 13126 (60.7%) zeros	Zeros
`yr_renovated` has 20699 (95.8%) zeros	Zeros

Reproduction

Analysis started	2021-06-19 18:21:09.488234
Analysis finished	2021-06-19 18:21:46.932949
Duration	37.44 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

id
Real number (ℝ_≥0)

Distinct	21436
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4580301521
Minimum	1000102
Maximum	9900000190
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	1000102
5-th percentile	512480335
Q1	2123049194
median	3904930410
Q3	7308900445
95-th percentile	9297300429
Maximum	9900000190
Range	9899000088
Interquartile range (IQR)	5185851251

Descriptive statistics

Standard deviation	2876565571
Coefficient of variation (CV)	0.6280297396
Kurtosis	-1.260541871
Mean	4580301521
Median Absolute Deviation (MAD)	2402530110
Skewness	0.2433285476
Sum	9.899405677 × 10¹³
Variance	8.274629486 × 10¹⁸
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
795000620	3	< 0.1%
3523069060	2	< 0.1%
7129304540	2	< 0.1%
2619920170	2	< 0.1%
6021501535	2	< 0.1%
7899800045	2	< 0.1%
6623400187	2	< 0.1%
7856400300	2	< 0.1%
2228900270	2	< 0.1%
7520000520	2	< 0.1%
Other values (21426)	21592	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000102	2	< 0.1%
1200019	1	< 0.1%
1200021	1	< 0.1%
2800031	1	< 0.1%
3600057	1	< 0.1%

Value	Count	Frequency (%)
9900000190	1	< 0.1%
9895000040	1	< 0.1%
9842300540	1	< 0.1%
9842300485	1	< 0.1%
9842300095	1	< 0.1%

date
Categorical

HIGH CARDINALITY

Distinct	372
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	169.0 KiB

20140623T000000	142
20140626T000000	131
20140625T000000	131
20140708T000000	127
20150427T000000	126
Other values (367)	20956

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	324195
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	0.1%

Sample

1st row	20141013T000000
2nd row	20141209T000000
3rd row	20150225T000000
4th row	20141209T000000
5th row	20150218T000000

Value	Count	Frequency (%)
20140623T000000	142	0.7%
20140626T000000	131	0.6%
20140625T000000	131	0.6%
20140708T000000	127	0.6%
20150427T000000	126	0.6%
20150325T000000	123	0.6%
20150428T000000	121	0.6%
20140709T000000	121	0.6%
20150422T000000	121	0.6%
20150414T000000	121	0.6%
Other values (362)	20349	94.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
20140623t000000	142	0.7%
20140625t000000	131	0.6%
20140626t000000	131	0.6%
20140708t000000	127	0.6%
20150427t000000	126	0.6%
20150325t000000	123	0.6%
20150414t000000	121	0.6%
20140709t000000	121	0.6%
20150428t000000	121	0.6%
20150422t000000	121	0.6%
Other values (362)	20349	94.2%

Most occurring characters

Value	Count	Frequency (%)
0	178543	55.1%
1	37980	11.7%
2	33852	10.4%
T	21613	6.7%
4	18999	5.9%
5	11564	3.6%
3	5066	1.6%
7	4354	1.3%
6	4328	1.3%
8	4009	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	302582	93.3%
Uppercase Letter	21613	6.7%

Most frequent character per category

Value	Count	Frequency (%)
0	178543	59.0%
1	37980	12.6%
2	33852	11.2%
4	18999	6.3%
5	11564	3.8%
3	5066	1.7%
7	4354	1.4%
6	4328	1.4%
8	4009	1.3%
9	3887	1.3%

Value	Count	Frequency (%)
T	21613	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	302582	93.3%
Latin	21613	6.7%

Most frequent character per script

Value	Count	Frequency (%)
0	178543	59.0%
1	37980	12.6%
2	33852	11.2%
4	18999	6.3%
5	11564	3.8%
3	5066	1.7%
7	4354	1.4%
6	4328	1.4%
8	4009	1.3%
9	3887	1.3%

Value	Count	Frequency (%)
T	21613	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	324195	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	178543	55.1%
1	37980	11.7%
2	33852	10.4%
T	21613	6.7%
4	18999	5.9%
5	11564	3.6%
3	5066	1.6%
7	4354	1.3%
6	4328	1.3%
8	4009	1.2%

price
Real number (ℝ_≥0)

Distinct	4028
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	540088.1418
Minimum	75000
Maximum	7700000
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	75000
5-th percentile	210000
Q1	321950
median	450000
Q3	645000
95-th percentile	1156480
Maximum	7700000
Range	7625000
Interquartile range (IQR)	323050

Descriptive statistics

Standard deviation	367127.1965
Coefficient of variation (CV)	0.6797542255
Kurtosis	34.58554043
Mean	540088.1418
Median Absolute Deviation (MAD)	150000
Skewness	4.024069145
Sum	1.167292501 × 10¹⁰
Variance	1.347823784 × 10¹¹
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
450000	172	0.8%
350000	172	0.8%
550000	159	0.7%
500000	152	0.7%
425000	150	0.7%
325000	148	0.7%
400000	145	0.7%
375000	138	0.6%
300000	133	0.6%
525000	131	0.6%
Other values (4018)	20113	93.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
75000	1	< 0.1%
78000	1	< 0.1%
80000	1	< 0.1%
81000	1	< 0.1%
82000	1	< 0.1%

Value	Count	Frequency (%)
7700000	1	< 0.1%
7062500	1	< 0.1%
6885000	1	< 0.1%
5570000	1	< 0.1%
5350000	1	< 0.1%

bedrooms
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	0.1%
Missing	4
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	3.370910269
Minimum	0
Maximum	33
Zeros	13
Zeros (%)	0.1%
Memory size	169.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	5
Maximum	33
Range	33
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9300844679
Coefficient of variation (CV)	0.2759149291
Kurtosis	49.06741079
Mean	3.370910269
Median Absolute Deviation (MAD)	1
Skewness	1.974439161
Sum	72842
Variance	0.8650571175
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
3	9822	45.4%
4	6881	31.8%
2	2759	12.8%
5	1601	7.4%
6	272	1.3%
1	199	0.9%
7	38	0.2%
8	13	0.1%
0	13	0.1%
9	6	< 0.1%
Other values (3)	5	< 0.1%
(Missing)	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	13	0.1%
1	199	0.9%
2	2759	12.8%
3	9822	45.4%
4	6881	31.8%

Value	Count	Frequency (%)
33	1	< 0.1%
11	1	< 0.1%
10	3	< 0.1%
9	6	< 0.1%
8	13	0.1%

bathrooms
Real number (ℝ_≥0)

Distinct	30
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.114757322
Minimum	0
Maximum	8
Zeros	10
Zeros (%)	< 0.1%
Memory size	169.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1.75
median	2.25
Q3	2.5
95-th percentile	3.5
Maximum	8
Range	8
Interquartile range (IQR)	0.75

Descriptive statistics

Standard deviation	0.7701631572
Coefficient of variation (CV)	0.3641851238
Kurtosis	1.279902444
Mean	2.114757322
Median Absolute Deviation (MAD)	0.5
Skewness	0.5111075733
Sum	45706.25
Variance	0.5931512887
Monotocity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
2.5	5380	24.9%
1	3852	17.8%
1.75	3048	14.1%
2.25	2047	9.5%
2	1930	8.9%
1.5	1446	6.7%
2.75	1185	5.5%
3	753	3.5%
3.5	731	3.4%
3.25	589	2.7%
Other values (20)	652	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10	< 0.1%
0.5	4	< 0.1%
0.75	72	0.3%
1	3852	17.8%
1.25	9	< 0.1%

Value	Count	Frequency (%)
8	2	< 0.1%
7.75	1	< 0.1%
7.5	1	< 0.1%
6.75	2	< 0.1%
6.5	2	< 0.1%

sqft_living
Real number (ℝ_≥0)

Distinct	1038
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2079.899736
Minimum	290
Maximum	13540
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	290
5-th percentile	940
Q1	1427
median	1910
Q3	2550
95-th percentile	3760
Maximum	13540
Range	13250
Interquartile range (IQR)	1123

Descriptive statistics

Standard deviation	918.440897
Coefficient of variation (CV)	0.4415794093
Kurtosis	5.24309299
Mean	2079.899736
Median Absolute Deviation (MAD)	540
Skewness	1.471555427
Sum	44952873
Variance	843533.6814
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1300	138	0.6%
1400	135	0.6%
1440	133	0.6%
1010	129	0.6%
1660	129	0.6%
1800	129	0.6%
1820	128	0.6%
1720	125	0.6%
1480	125	0.6%
1540	124	0.6%
Other values (1028)	20318	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
290	1	< 0.1%
370	1	< 0.1%
380	1	< 0.1%
384	1	< 0.1%
390	2	< 0.1%

Value	Count	Frequency (%)
13540	1	< 0.1%
12050	1	< 0.1%
10040	1	< 0.1%
9890	1	< 0.1%
9640	1	< 0.1%

sqft_lot
Real number (ℝ_≥0)

Distinct	9782
Distinct (%)	45.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15106.96757
Minimum	520
Maximum	1651359
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	520
5-th percentile	1800
Q1	5040
median	7618
Q3	10688
95-th percentile	43339.2
Maximum	1651359
Range	1650839
Interquartile range (IQR)	5648

Descriptive statistics

Standard deviation	41420.51152
Coefficient of variation (CV)	2.741815082
Kurtosis	285.0778197
Mean	15106.96757
Median Absolute Deviation (MAD)	2618
Skewness	13.06001896
Sum	326506890
Variance	1715658774
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	358	1.7%
6000	290	1.3%
4000	251	1.2%
7200	220	1.0%
4800	120	0.6%
7500	119	0.6%
4500	114	0.5%
8400	111	0.5%
9600	109	0.5%
3600	103	0.5%
Other values (9772)	19818	91.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
520	1	< 0.1%
572	1	< 0.1%
600	1	< 0.1%
609	1	< 0.1%
635	1	< 0.1%

Value	Count	Frequency (%)
1651359	1	< 0.1%
1164794	1	< 0.1%
1074218	1	< 0.1%
1024068	1	< 0.1%
982998	1	< 0.1%

floors
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%

Mean	1.494331853
Minimum	1
Maximum	3.5
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1.5
Q3	2
95-th percentile	2
Maximum	3.5
Range	2.5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.539990919
Coefficient of variation (CV)	0.3613594383
Kurtosis	-0.4847811464
Mean	1.494331853
Median Absolute Deviation (MAD)	0.5
Skewness	0.616106725
Sum	32295.5
Variance	0.2915901926
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	10679	49.4%
2	8241	38.1%
1.5	1910	8.8%
3	613	2.8%
2.5	161	0.7%
3.5	8	< 0.1%
(Missing)	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10679	49.4%
1.5	1910	8.8%
2	8241	38.1%
2.5	161	0.7%
3	613	2.8%

Value	Count	Frequency (%)
3.5	8	< 0.1%
3	613	2.8%
2.5	161	0.7%
2	8241	38.1%
1.5	1910	8.8%

waterfront
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	169.0 KiB

0	21450
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	21613
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21613	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	21613	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21613	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	21450	99.2%
1	163	0.8%

view
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	169.0 KiB

0	19489
2	963
3	510
1	332
4	319

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	21613
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21613	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	21613	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21613	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	19489	90.2%
2	963	4.5%
3	510	2.4%
1	332	1.5%
4	319	1.5%

condition
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	169.0 KiB

3	14031
4	5679
5	1701
2	172
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	21613
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	5
5th row	3

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

Most occurring characters

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	21613	100.0%

Most frequent character per category

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	21613	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21613	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	14031	64.9%
4	5679	26.3%
5	1701	7.9%
2	172	0.8%
1	30	0.1%

grade
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.656873178
Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	7
median	7
Q3	8
95-th percentile	10
Maximum	13
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.175458757
Coefficient of variation (CV)	0.1535168116
Kurtosis	1.190932077
Mean	7.656873178
Median Absolute Deviation (MAD)	1
Skewness	0.7711032008
Sum	165488
Variance	1.381703289
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	8981	41.6%
8	6068	28.1%
9	2615	12.1%
6	2038	9.4%
10	1134	5.2%
11	399	1.8%
5	242	1.1%
12	90	0.4%
4	29	0.1%
13	13	0.1%
Other values (2)	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	3	< 0.1%
4	29	0.1%
5	242	1.1%
6	2038	9.4%

Value	Count	Frequency (%)
13	13	0.1%
12	90	0.4%
11	399	1.8%
10	1134	5.2%
9	2615	12.1%

sqft_above
Real number (ℝ_≥0)

Distinct	946
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1788.390691
Minimum	290
Maximum	9410
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	290
5-th percentile	850
Q1	1190
median	1560
Q3	2210
95-th percentile	3400
Maximum	9410
Range	9120
Interquartile range (IQR)	1020

Descriptive statistics

Standard deviation	828.0909777
Coefficient of variation (CV)	0.4630369538
Kurtosis	3.402303621
Mean	1788.390691
Median Absolute Deviation (MAD)	450
Skewness	1.446664473
Sum	38652488
Variance	685734.6673
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1300	212	1.0%
1010	210	1.0%
1200	206	1.0%
1220	192	0.9%
1140	184	0.9%
1400	180	0.8%
1060	178	0.8%
1180	177	0.8%
1340	176	0.8%
1250	174	0.8%
Other values (936)	19724	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
290	1	< 0.1%
370	1	< 0.1%
380	1	< 0.1%
384	1	< 0.1%
390	2	< 0.1%

Value	Count	Frequency (%)
9410	1	< 0.1%
8860	1	< 0.1%
8570	1	< 0.1%
8020	1	< 0.1%
7880	1	< 0.1%

sqft_basement
Real number (ℝ_≥0)

ZEROS

Distinct	306
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	291.5090455
Minimum	0
Maximum	4820
Zeros	13126
Zeros (%)	60.7%
Memory size	169.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	560
95-th percentile	1190
Maximum	4820
Range	4820
Interquartile range (IQR)	560

Descriptive statistics

Standard deviation	442.5750427
Coefficient of variation (CV)	1.518220616
Kurtosis	2.715574211
Mean	291.5090455
Median Absolute Deviation (MAD)	0
Skewness	1.577965056
Sum	6300385
Variance	195872.6684
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	13126	60.7%
600	221	1.0%
700	218	1.0%
500	214	1.0%
800	206	1.0%
400	184	0.9%
1000	149	0.7%
900	144	0.7%
300	142	0.7%
200	108	0.5%
Other values (296)	6901	31.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	13126	60.7%
10	2	< 0.1%
20	1	< 0.1%
40	4	< 0.1%
50	11	0.1%

Value	Count	Frequency (%)
4820	1	< 0.1%
4130	1	< 0.1%
3500	1	< 0.1%
3480	1	< 0.1%
3260	1	< 0.1%

yr_built
Real number (ℝ_≥0)

Distinct	116
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1971.005136
Minimum	1900
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	1900
5-th percentile	1915
Q1	1951
median	1975
Q3	1997
95-th percentile	2011
Maximum	2015
Range	115
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	29.3734108
Coefficient of variation (CV)	0.01490275711
Kurtosis	-0.6574075047
Mean	1971.005136
Median Absolute Deviation (MAD)	23
Skewness	-0.4698053988
Sum	42599334
Variance	862.7972622
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2014	559	2.6%
2006	454	2.1%
2005	450	2.1%
2004	433	2.0%
2003	422	2.0%
2007	417	1.9%
1977	417	1.9%
1978	387	1.8%
1968	381	1.8%
2008	367	1.7%
Other values (106)	17326	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1900	87	0.4%
1901	29	0.1%
1902	27	0.1%
1903	46	0.2%
1904	45	0.2%

Value	Count	Frequency (%)
2015	38	0.2%
2014	559	2.6%
2013	201	0.9%
2012	170	0.8%
2011	130	0.6%

yr_renovated
Real number (ℝ_≥0)

ZEROS

Distinct	70
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	84.4022579
Minimum	0
Maximum	2015
Zeros	20699
Zeros (%)	95.8%
Memory size	169.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	2015
Range	2015
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	401.67924
Coefficient of variation (CV)	4.759105384
Kurtosis	18.70115212
Mean	84.4022579
Median Absolute Deviation (MAD)	0
Skewness	4.549493367
Sum	1824186
Variance	161346.2119
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	20699	95.8%
2014	91	0.4%
2013	37	0.2%
2003	36	0.2%
2007	35	0.2%
2000	35	0.2%
2005	35	0.2%
2004	26	0.1%
1990	25	0.1%
2006	24	0.1%
Other values (60)	570	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	20699	95.8%
1934	1	< 0.1%
1940	2	< 0.1%
1944	1	< 0.1%
1945	3	< 0.1%

Value	Count	Frequency (%)
2015	16	0.1%
2014	91	0.4%
2013	37	0.2%
2012	11	0.1%
2011	13	0.1%

zipcode
Real number (ℝ_≥0)

Distinct	70
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	98077.9398
Minimum	98001
Maximum	98199
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	98001
5-th percentile	98004
Q1	98033
median	98065
Q3	98118
95-th percentile	98177
Maximum	98199
Range	198
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	53.50502626
Coefficient of variation (CV)	0.0005455357888
Kurtosis	-0.8534788732
Mean	98077.9398
Median Absolute Deviation (MAD)	42
Skewness	0.4056612082
Sum	2119758513
Variance	2862.787835
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98103	602	2.8%
98038	590	2.7%
98115	583	2.7%
98052	574	2.7%
98117	553	2.6%
98042	548	2.5%
98034	545	2.5%
98118	508	2.4%
98023	499	2.3%
98006	498	2.3%
Other values (60)	16113	74.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
98001	362	1.7%
98002	199	0.9%
98003	280	1.3%
98004	317	1.5%
98005	168	0.8%

Value	Count	Frequency (%)
98199	317	1.5%
98198	280	1.3%
98188	136	0.6%
98178	262	1.2%
98177	255	1.2%

lat
Real number (ℝ_≥0)

Distinct	5034
Distinct (%)	23.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	47.56005252
Minimum	47.1559
Maximum	47.7776
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	47.1559
5-th percentile	47.3103
Q1	47.471
median	47.5718
Q3	47.678
95-th percentile	47.74964
Maximum	47.7776
Range	0.6217
Interquartile range (IQR)	0.207

Descriptive statistics

Standard deviation	0.1385637102
Coefficient of variation (CV)	0.002913447377
Kurtosis	-0.6763130016
Mean	47.56005252
Median Absolute Deviation (MAD)	0.1049
Skewness	-0.4852704765
Sum	1027915.415
Variance	0.0191999018
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47.6846	17	0.1%
47.6624	17	0.1%
47.5491	17	0.1%
47.5322	17	0.1%
47.6955	16	0.1%
47.6711	16	0.1%
47.6886	16	0.1%
47.6647	15	0.1%
47.6904	15	0.1%
47.6842	15	0.1%
Other values (5024)	21452	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
47.1559	1	< 0.1%
47.1593	1	< 0.1%
47.1622	1	< 0.1%
47.1647	1	< 0.1%
47.1764	1	< 0.1%

Value	Count	Frequency (%)
47.7776	3	< 0.1%
47.7775	3	< 0.1%
47.7774	1	< 0.1%
47.7772	3	< 0.1%
47.7771	2	< 0.1%

long
Real number (ℝ)

Distinct	752
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-122.2138964
Minimum	-122.519
Maximum	-121.315
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	-122.519
5-th percentile	-122.387
Q1	-122.328
median	-122.23
Q3	-122.125
95-th percentile	-121.979
Maximum	-121.315
Range	1.204
Interquartile range (IQR)	0.203

Descriptive statistics

Standard deviation	0.1408283424
Coefficient of variation (CV)	-0.001152310388
Kurtosis	1.049500887
Mean	-122.2138964
Median Absolute Deviation (MAD)	0.101
Skewness	0.8850529834
Sum	-2641408.943
Variance	0.01983262202
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-122.29	116	0.5%
-122.3	111	0.5%
-122.362	104	0.5%
-122.291	100	0.5%
-122.363	99	0.5%
-122.372	99	0.5%
-122.288	98	0.5%
-122.357	96	0.4%
-122.284	95	0.4%
-122.365	94	0.4%
Other values (742)	20601	95.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-122.519	1	< 0.1%
-122.515	1	< 0.1%
-122.514	1	< 0.1%
-122.512	1	< 0.1%
-122.511	2	< 0.1%

Value	Count	Frequency (%)
-121.315	2	< 0.1%
-121.316	1	< 0.1%
-121.319	1	< 0.1%
-121.321	1	< 0.1%
-121.325	1	< 0.1%

sqft_living15
Real number (ℝ_≥0)

Distinct	777
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1986.552492
Minimum	399
Maximum	6210
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	399
5-th percentile	1140
Q1	1490
median	1840
Q3	2360
95-th percentile	3300
Maximum	6210
Range	5811
Interquartile range (IQR)	870

Descriptive statistics

Standard deviation	685.3913043
Coefficient of variation (CV)	0.3450154512
Kurtosis	1.59709581
Mean	1986.552492
Median Absolute Deviation (MAD)	410
Skewness	1.108181276
Sum	42935359
Variance	469761.2399
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1540	197	0.9%
1440	195	0.9%
1560	192	0.9%
1500	181	0.8%
1460	169	0.8%
1580	167	0.8%
1610	166	0.8%
1800	166	0.8%
1720	166	0.8%
1620	165	0.8%
Other values (767)	19849	91.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
399	1	< 0.1%
460	2	< 0.1%
620	2	< 0.1%
670	1	< 0.1%
690	2	< 0.1%

Value	Count	Frequency (%)
6210	1	< 0.1%
6110	1	< 0.1%
5790	6	< 0.1%
5610	1	< 0.1%
5600	1	< 0.1%

sqft_lot15
Real number (ℝ_≥0)

Distinct	8689
Distinct (%)	40.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12768.45565
Minimum	651
Maximum	871200
Zeros	0
Zeros (%)	0.0%
Memory size	169.0 KiB

Quantile statistics

Minimum	651
5-th percentile	1999.2
Q1	5100
median	7620
Q3	10083
95-th percentile	37062.8
Maximum	871200
Range	870549
Interquartile range (IQR)	4983

Descriptive statistics

Standard deviation	27304.17963
Coefficient of variation (CV)	2.138408933
Kurtosis	150.76311
Mean	12768.45565
Median Absolute Deviation (MAD)	2505
Skewness	9.506743247
Sum	275964632
Variance	745518225.3
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	427	2.0%
4000	357	1.7%
6000	289	1.3%
7200	211	1.0%
4800	145	0.7%
7500	142	0.7%
8400	116	0.5%
3600	111	0.5%
4500	111	0.5%
5100	109	0.5%
Other values (8679)	19595	90.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
651	1	< 0.1%
659	1	< 0.1%
660	1	< 0.1%
748	2	< 0.1%
750	4	< 0.1%

Value	Count	Frequency (%)
871200	1	< 0.1%
858132	1	< 0.1%
560617	1	< 0.1%
438213	1	< 0.1%
434728	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	date	price	bedrooms	bathrooms	sqft_living	sqft_lot	floors	condition	grade	sqft_above	sqft_basement	yr_built	yr_renovated	zipcode	lat	long	sqft_living15	sqft_lot15
0	7129300520	20141013T000000	221900.0	3.0	1.00	1180	5650	1.0	3	7	1180	0	1955	0	98178	47.5112	-122.257	1340	5650
1	6414100192	20141209T000000	538000.0	3.0	2.25	2570	7242	2.0	3	7	2170	400	1951	1991	98125	47.7210	-122.319	1690	7639
2	5631500400	20150225T000000	180000.0	2.0	1.00	770	10000	1.0	3	6	770	0	1933	0	98028	47.7379	-122.233	2720	8062
3	2487200875	20141209T000000	604000.0	4.0	3.00	1960	5000	1.0	5	7	1050	910	1965	0	98136	47.5208	-122.393	1360	5000
4	1954400510	20150218T000000	510000.0	3.0	2.00	1680	8080	1.0	3	8	1680	0	1987	0	98074	47.6168	-122.045	1800	7503
5	7237550310	20140512T000000	1225000.0	4.0	4.50	5420	101930	1.0	3	11	3890	1530	2001	0	98053	47.6561	-122.005	4760	101930
6	1321400060	20140627T000000	257500.0	3.0	2.25	1715	6819	2.0	3	7	1715	0	1995	0	98003	47.3097	-122.327	2238	6819
7	2008000270	20150115T000000	291850.0	3.0	1.50	1060	9711	1.0	3	7	1060	0	1963	0	98198	47.4095	-122.315	1650	9711
8	2414600126	20150415T000000	229500.0	3.0	1.00	1780	7470	1.0	3	7	1050	730	1960	0	98146	47.5123	-122.337	1780	8113
9	3793500160	20150312T000000	323000.0	3.0	2.50	1890	6560	2.0	3	7	1890	0	2003	0	98038	47.3684	-122.031	2390	7570

Last rows

	id	date	price	bedrooms	bathrooms	sqft_living	sqft_lot	floors	condition	grade	sqft_above	sqft_basement	yr_built	zipcode	lat	long	sqft_living15	sqft_lot15
21603	7852140040	20140825T000000	507250.0	3.0	2.50	2270	5536	2.0	3	8	2270	0	2003	98065	47.5389	-121.881	2270	5731
21604	9834201367	20150126T000000	429000.0	3.0	2.00	1490	1126	3.0	3	8	1490	0	2014	98144	47.5699	-122.288	1400	1230
21605	3448900210	20141014T000000	610685.0	4.0	2.50	2520	6023	2.0	3	9	2520	0	2014	98056	47.5137	-122.167	2520	6023
21606	7936000429	20150326T000000	1007500.0	4.0	3.50	3510	7200	2.0	3	9	2600	910	2009	98136	47.5537	-122.398	2050	6200
21607	2997800021	20150219T000000	475000.0	3.0	2.50	1310	1294	2.0	3	8	1180	130	2008	98116	47.5773	-122.409	1330	1265
21608	263000018	20140521T000000	360000.0	3.0	2.50	1530	1131	3.0	3	8	1530	0	2009	98103	47.6993	-122.346	1530	1509
21609	6600060120	20150223T000000	400000.0	4.0	2.50	2310	5813	2.0	3	8	2310	0	2014	98146	47.5107	-122.362	1830	7200
21610	1523300141	20140623T000000	402101.0	2.0	0.75	1020	1350	2.0	3	7	1020	0	2009	98144	47.5944	-122.299	1020	2007
21611	291310100	20150116T000000	400000.0	3.0	2.50	1600	2388	2.0	3	8	1600	0	2004	98027	47.5345	-122.069	1410	1287
21612	1523300157	20141015T000000	325000.0	2.0	0.75	1020	1076	2.0	3	7	1020	0	2008	98144	47.5941	-122.299	1020	1357

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows